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DBMS > Databricks vs. Ehcache vs. H2 vs. IBM Cloudant vs. PlanetScale

System Properties Comparison Databricks vs. Ehcache vs. H2 vs. IBM Cloudant vs. PlanetScale

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEhcache  Xexclude from comparisonH2  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A widely adopted Java cache with tiered storage optionsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Database as a Service offering based on Apache CouchDBScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelDocument store
Relational DBMS
Key-value storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score1.49
Rank#155  Overall
#72  Relational DBMS
Websitewww.databricks.comwww.ehcache.orgwww.h2database.comwww.ibm.com/­products/­cloudantplanetscale.com
Technical documentationdocs.databricks.comwww.ehcache.org/­documentationwww.h2database.com/­html/­main.htmlcloud.ibm.com/­docs/­Cloudantplanetscale.com/­docs
DeveloperDatabricksTerracotta Inc, owned by Software AGThomas MuellerIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014PlanetScale
Initial release20132009200520102020
Current release3.10.0, March 20222.2.220, July 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaErlangGo
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMhostedDocker
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.yesnonono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyesnoyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JCacheJDBC
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesPython
R
Scala
JavaJavaC#
Java
JavaScript
Objective-C
PHP
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJava Stored Procedures and User-Defined FunctionsView functions (Map-Reduce) in JavaScriptyes infoproprietary syntax
Triggersyes infoCache Event Listenersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServernoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoby using Terracotta ServerWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDno infoatomic operations within a document possibleACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infoOptimistic lockingyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users can be defined per databaseUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
DatabricksEhcacheH2IBM CloudantPlanetScale
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksEhcacheH2IBM CloudantPlanetScale
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